Name
Title | ||
|---|---|---|
Exploring design principles for data literacy activities to support children’s inquiries from complex data |
Abstract | ||
|---|---|---|
•Interactive data visualisations can support school children between the ages of 10–18 in asking valid questions from data.•Curated snapshots of part of a small part of dataset can help school children understand how to frame questions around the extended dataset, along dimensions such as space and time to explore more and more of.•A guided data inquiry can help lead to a more open data inquiry.•The learning of data skills lends itself to cross-curricular learning and can begin with primary school students.•There are a number of design principles that may help in developing new applications to engage children with complex data whilst developing new data literacies. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ijhcs.2019.03.006 | International Journal of Human-Computer Studies |
Keywords | Field | DocType |
Data literacy,Human-data interaction,Smart city,Open data | Design elements and principles,Age groups,Intelligent decision support system,Computer science,Knowledge management,Complex data type,Mathematics education,Smart city,Data literacy | Journal |
Volume | ISSN | Citations |
129 | 1071-5819 | 1 |
PageRank | References | Authors |
0.37 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Annika Wolff | 1 | 112 | 21.67 |
| Michel Wermelinger | 2 | 563 | 43.81 |
| Marian Petre | 3 | 1477 | 157.02 |